Calculate pairwise Kendall's tau correlational distances,
i.e. 1-TAU or 1-|TAU|,
for all rows of the input matrix and return an instance of the
dist class.
Usage
tau.dist(x, ...)
Arguments
x
n by p matrix or ExpressionSet; if x is an ExpressionSet, then the function uses its 'exprs' slot.
...
arguments passed to tau.dist:
absif TRUE, then 1-|TAU| else 1-TAU; default is TRUE.
diagif TRUE, then the diagonal of the distance matrix will be
displayed; default is FALSE.
upperif TRUE, then the upper triangle of the distance matrix
will be displayed; default is FALSE.
samplefor the ExpressionSet method: if TRUE (the default), then
distances are computed between samples.
Value
One minus the row-wise Kendall's tau correlations are returned as an
instance of the dist class. Note that this can be extremely
slow for large data sets.
Details
Row-wise correlations are computed by calling the cor function
with the appropriate arguments.